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Related Experiment Video

Updated: Jul 23, 2025

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SketchMetaFace: A Learning-Based Sketching Interface for High-Fidelity 3D Character Face Modeling.

Zhongjin Luo, Dong Du, Heming Zhu

    IEEE Transactions on Visualization and Computer Graphics
    |July 19, 2023
    PubMed
    Summary

    SketchMetaFace enables amateur users to create high-fidelity 3D face models quickly using intuitive sketching. This novel system, employing curvature-aware strokes and a unique learning-based method, simplifies 3D modeling for diverse applications.

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    Area of Science:

    • Computer Graphics
    • Human-Computer Interaction
    • Artificial Intelligence

    Background:

    • 3D avatar creation is crucial for AR/VR, gaming, and film.
    • Existing 3D face modeling tools are complex and time-consuming, even for experts.
    • Current sketch-based tools lack support for amateurs in creating diverse facial shapes and details.

    Purpose of the Study:

    • To introduce SketchMetaFace, a novel sketching system for amateur users to model high-fidelity 3D faces rapidly.
    • To address the challenges of user-friendliness and detail generation in 3D face modeling.
    • To develop an efficient and accurate method for mapping 2D sketches to 3D models.

    Main Methods:

    • Developed SketchMetaFace with a user-friendly interface and curvature-aware strokes for detailed control.
    • Introduced Implicit and Depth Guided Mesh Modeling (IDGMM), a learning-based approach fusing mesh, implicit, and depth representations.
    • Implemented a coarse-to-fine sketching interface and a data-driven stroke suggestion tool.

    Main Results:

    • User studies confirmed SketchMetaFace's superiority in ease of use and visual quality compared to existing tools.
    • Experimental analysis showed IDGMM achieves a favorable balance between accuracy and computational efficiency.
    • The system enables high-fidelity 3D face model generation in minutes.

    Conclusions:

    • SketchMetaFace significantly lowers the barrier for amateur users to create detailed 3D face models.
    • The IDGMM method offers an effective solution for 2D sketch to 3D model conversion.
    • This system enhances the accessibility and quality of 3D avatar creation for various applications.